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обновлено 12 дней назад

Senior Manager Infrastructure Data Science

228 600 - 314 250$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Manager, Infrastructure Data Science (Data Science/ML): Shaping the future of Databricks infrastructure through data science, tackling complex challenges related to capacity planning, performance optimization, and reliability engineering. Focus on implementing data-driven solutions to mitigate infrastructure risks, improve resource utilization, and mentor a team of data scientists.

Location: San Francisco, California, United States

Salary: $228,600–$314,250 USD annually for Zone 1; additional bonus, equity, and benefits may apply.

Company

Databricks builds and operates a data and AI infrastructure platform used by organizations worldwide for data applications, analytics, and AI workloads.

What you will do

  • Provide strategic guidance on infrastructure planning, capacity, scalability, and cost-effectiveness.
  • Use data science and analytics to guide infrastructure decisions and influence engineering and support stakeholders.
  • Develop solutions to predict and mitigate infrastructure risks and failures, improving reliability, performance, and uptime.
  • Analyze infrastructure usage to improve resource utilization, reduce inefficiencies, and optimize costs.
  • Build data frameworks that help support teams troubleshoot and resolve product issues more quickly.
  • Hire, manage, and mentor a team of data scientists while establishing best practices for scalable infrastructure solutions.

Requirements

  • 10+ years of experience in infrastructure data science, machine learning, or advanced analytics in high-growth companies.
  • 5+ years of experience managing, hiring, and developing teams.
  • Experience developing data science, analytics, machine learning, and AI products or capabilities in a cloud environment.
  • Knowledge of statistics, rigorous analytical techniques, data visualization, data engineering, data modeling, and big data technologies.
  • Leadership and communication skills, including the ability to influence executives and senior management across organizational lines.
  • MS or PhD in statistics, mathematics, computer science, engineering, or another quantitative field.

Culture & Benefits

  • Work on highly technical data and AI infrastructure products operating at significant scale.
  • Collaborative environment focused on innovation, resilience, security, and customer success.
  • Comprehensive benefits and perks, varying by region.
  • Inclusive hiring practices and a commitment to diversity and equal employment opportunity.

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